Closed karthikesh2020 closed 3 years ago
Hi, @karthikesh2020 , please check your config file. The numbers of classes for train and test are likely to be different.
Hi, @karthikesh2020 , please check your config file. The numbers of classes for train and test are likely to be different.
Hi, @karthikesh2020 , please check your config file. The numbers of classes for train and test are likely to be different.
Thank you so much @tengerye, It solved the problem.
I trained model for a while & cancelled training Now i'm trying it test. i'm getting below issue. kindly please help. thanks in advance
Command: !python test.py --checkpoint saved/models/PICK_Default/test_1012_064804/model_best.pth \ --boxes_transcripts {out_box_path} \ --images_path {out_img_path} --output_folder /content/output/ \ --gpu 0 --batch_size 2
Error: Loading checkpoint: saved/models/PICK_Default/test_1012_064804/model_best.pth with saved mEF 0.0000 ...
RuntimeError: Error(s) in loading state_dict for PICKModel: size mismatch for decoder.bilstm_layer.mlp.mlp.0.weight: copying a param with shape torch.Size([49, 1024]) from checkpoint, the shape in current model is torch.Size([11, 1024]). size mismatch for decoder.bilstm_layer.mlp.mlp.0.bias: copying a param with shape torch.Size([49]) from checkpoint, the shape in current model is torch.Size([11]). size mismatch for decoder.crf_layer.transitions: copying a param with shape torch.Size([49, 49]) from checkpoint, the shape in current model is torch.Size([11, 11]). size mismatch for decoder.crf_layer._constraint_mask: copying a param with shape torch.Size([51, 51]) from checkpoint, the shape in current model is torch.Size([13, 13]). size mismatch for decoder.crf_layer.start_transitions: copying a param with shape torch.Size([49]) from checkpoint, the shape in current model is torch.Size([11]). size mismatch for decoder.crf_layer.end_transitions: copying a param with shape torch.Size([49]) from checkpoint, the shape in current model is torch.Size([11]).